{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Analysing a PPG signal\n",
    "\n",
    "This notebook is aimed at those with no knowledge of HeartPy. It contains a few simple examples of the API available.\n",
    "\n",
    "In this notebook we'll go over how to analyse a regular PPG signal with HeartPy.\n",
    "\n",
    "For this we'll use the example datasets that are packaged with HeartPy.\n",
    "\n",
    "这个nootbook是针对那些不了解HeartPy的人的。它包含一些可用的 API 的简单示例。\n",
    "\n",
    "在此nootbook中，我们将检查如何使用 HeartPy 分析常规 PPG 信号。\n",
    "\n",
    "为此，我们将使用与 HeartPy 打包的示例数据集。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "#First let's import\n",
    "import heartpy as hp\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "HeartPy comes with a function ***load_exampledata()*** that can load the datasets provded. It will return a tuple (data, timer), where 'timer' is the timer column (ms or datetime). If no timer column is available a tuple is still returned, but with timer array being empty.\n",
    "\n",
    "There's three datasets included with HeartPy:\n",
    "- 0 : a short, very clean PPG signal, sampled at 100.0 Hz\n",
    "- 1 : a slightly longer (~2 minute) PPG signal, with missing signal in first third, and random noise spikes in rest of signal\n",
    "- 2 : a long (~11.5 minute) PPG signal recorded 'in the wild' while driving in a driving simulator using a Pulse Sensor on the index finger and an Arduino\n",
    "\n",
    "---------\n",
    "\n",
    "接下来依次分析所有的三个示例.\n",
    "\n",
    "HeartPy 附带功能***load_exampledata（）***，可以加载已被证明的数据集。它将返回一个图（数据，时间），其中\"时间\"是时间列（ms 或datetime）。如果没有时间可用，则仍返回一个 tuple，但时间数组为空。\n",
    "\n",
    "HeartPy 包含三个数据集：\n",
    "- 0 ： 一个简短，非常干净的PPG信号，采样在100.0赫兹\n",
    "- 1 ： 稍长（+2分钟）的PPG信号，前三分之一缺少信号，其余信号随机噪声峰值\n",
    "- 2 ： 一个长(~11.5分钟)'in the wild'记录的PPG信号 在驱动模拟器中使用食指上的脉冲传感器\n",
    "---------\n",
    "\n",
    "浏览所有三个示例，并逐个进行分析。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 864x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#first let's load the clean PPG signal\n",
    "data, timer = hp.load_exampledata(0)\n",
    "\n",
    "#and visualise\n",
    "plt.figure(figsize=(12,4))\n",
    "plt.plot(data)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### That is a beautiful signal. Analysis should pose no issue\n",
    "\n",
    "when running ***hp.process()***, two dicts are returned: working_data (containing working data that you may want to access nonetheless, like peak positions and peak-peak intervals), and measures (containing the computed output measures).\n",
    "\n",
    "In the docs we abbreviate these to **'wd'** and **'m'**\n",
    "\n",
    "#### 这是一个看起来很漂亮的信号。分析应不会造成任何问题\n",
    "\n",
    "在运行***hp.process()***，返回两个句子：working_data（包含您可能仍希望访问的工作数据，如峰值位置和峰值间隔）和措施（包含计算输出量）。\n",
    "\n",
    "在文档中，我们将这些缩写为 **'wd'**和**'m'**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#run the analysis\n",
    "wd, m = hp.process(data, sample_rate = 100.0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Now you may want to visualize the results of the analysis.\n",
    "\n",
    "Heartpy comes with a function ***hp.plotter(wd, m)*** that does just this. The function requires you to give it the working_data and measures dict.\n",
    "\n",
    "If you specify parameters like a figure size to matplotlib before calling ***hp.plotter(wd, m)***, the specified figure size will be used.\n",
    "\n",
    "###现在您可能需要可视化分析结果。\n",
    "\n",
    "心与功能***hp.plotter(wd，m)***，这样做。该功能要求您给它working_data和measures字典。\n",
    "\n",
    "如果您在调用 ***hp.plotter(wd， m)*** 之前指定了数字大小等参数，也将会被使用。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bpm: 58.898848\n",
      "ibi: 1018.695652\n",
      "sdnn: 65.760061\n",
      "sdsd: 34.866925\n",
      "rmssd: 64.737231\n",
      "pnn20: 0.863636\n",
      "pnn50: 0.409091\n",
      "hr_mad: 40.000000\n",
      "sd1: 45.758077\n",
      "sd2: 82.926832\n",
      "s: 11921.000816\n",
      "sd1/sd2: 0.551789\n",
      "breathingrate: 0.170721\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 864x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#set large figure\n",
    "plt.figure(figsize=(12,4))\n",
    "\n",
    "#call plotter\n",
    "hp.plotter(wd, m)\n",
    "\n",
    "# Time-series\n",
    "\n",
    "# Time series measurements are computed from detected peaks. The output measures are:\n",
    "\n",
    "#     beats per minute (BPM)\n",
    "#     interbeat interval (IBI)\n",
    "#     standard deviation of RR intervals (SDNN)\n",
    "#     standard deviation of successive differences (SDSD)\n",
    "#     root mean square of successive differences (RMSSD)\n",
    "#     proportion of successive differences above 20ms (pNN20)\n",
    "#     proportion of successive differences above 50ms (pNN50)\n",
    "#     median absolute deviation of RR intervals (MAD)\n",
    "\n",
    "# Frequency Domain\n",
    "\n",
    "# Frequency domain measures computed are:\n",
    "\n",
    "#     low-frequency, frequency spectrum between 0.05-0.15Hz (LF)\n",
    "#     high-frequency, frequency spectrum between 0.15-0.5Hz (HF)\n",
    "#     the ration high frequency / low frequency (HF/LF)\n",
    "\n",
    "# The measures are computed from the PSD (Power Spectral Density), which itself is estimated using either FFT-based, Periodogram-based, or Welch-based methods. The default is Welch’s method.\n",
    "\n",
    "#display measures computed\n",
    "for measure in m.keys():\n",
    "    print('%s: %f' %(measure, m[measure]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "That looks nice, and we ran into no problems.\n",
    "\n",
    "----------\n",
    "\n",
    "Let's move on to the second included dataset and explore it first:\n",
    "\n",
    "看起来不错，我们没遇到什么问题。\n",
    "\n",
    "----------\n",
    "\n",
    "让我们继续到第二个包含的数据集，并首先浏览它："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data, timer = hp.load_exampledata(1)\n",
    "\n",
    "plt.figure(figsize=(12,4))\n",
    "plt.plot(data)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This is a more tricky signal I made intentionally. There's no signal in the beginning as I started recording before and while putting on the sensor. After the signal commences there's a few noise spikes as I forcefully moved the sensor while recording. This imitates what may happen when recording 'in the wild' as well if the participant moves and accidentally tugs at a sensor cable.\n",
    "\n",
    "HeartPy is designed to handle this sort of thing out of the box. Let's look at the example first:\n",
    "\n",
    "这是故意发出的一个更棘手的信号。当在安装传感器之前和期间开始录制时，一开始没有信号。信号开始后，在录制时有力地移动传感器时，会发出一些噪声峰值。这模仿了在\"自然\"录制时可能发生的情况，以及如果参与者移动并意外地拖动传感器电缆时可能发生的情况。\n",
    "\n",
    "HeartPy被设计成开箱即用地处理这类事情。让我们先看看示例："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "bpm: 62.376304\n",
      "ibi: 961.903744\n",
      "sdnn: 64.613519\n",
      "sdsd: 29.871930\n",
      "rmssd: 57.069746\n",
      "pnn20: 0.797297\n",
      "pnn50: 0.486486\n",
      "hr_mad: 47.010333\n",
      "sd1: 40.344402\n",
      "sd2: 81.621935\n",
      "s: 10345.227446\n",
      "sd1/sd2: 0.494284\n",
      "breathingrate: 0.266667\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 864x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sample_rate = hp.get_samplerate_mstimer(timer)\n",
    "\n",
    "wd, m = hp.process(data, sample_rate)\n",
    "\n",
    "#plot\n",
    "plt.figure(figsize=(12,4))\n",
    "hp.plotter(wd, m)\n",
    "\n",
    "#display measures computed\n",
    "for measure in m.keys():\n",
    "    print('%s: %f' %(measure, m[measure]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note we computed the sample_rate from a timer column (that was in ms values). This is important beforehand since we didn't know with what sample_rate the signal was sampled. All measures depend on knowing the sample rate.\n",
    "\n",
    "HeartPy comes with two functions: ***hp.get_samplerate_mstimer()*** that computes sample rate based on a ms-timer, and ***hp.get_samplerate_datetime()***, that computes sample_rate based on a column in datetime values.\n",
    "\n",
    "You saw how we used the mstimer earlier, now let's look at a 'in the wild' recording that uses datetime strings to encode time:\n",
    "\n",
    "请注意，我们从timer列（即 ms 值）中计算了sample_rate。这在之前很重要，因为我们不知道信号被采样sample_rate。所有衡量指标都取决于了解样本率。\n",
    "\n",
    "HeartPy 具有两个功能：***hp.get_samplerate_mstimer()***，根据 ms-timer 计算样本速率，***hp.get_samplerate_datetime()***，根据日期值中的列计算sample_rate。\n",
    "\n",
    "您看到了我们之前如何使用 mstimer， 现在让我们看看 \"自然\" 的记录， 它使用日期字符串来编码时间："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[326 327 352 ... 470 482 496]\n",
      "['2016-11-24 13:58:58.081000' '2016-11-24 13:58:58.097000'\n",
      " '2016-11-24 13:58:58.097000' ... '2016-11-24 14:10:19.964000'\n",
      " '2016-11-24 14:10:19.964000' '2016-11-24 14:10:19.979000']\n"
     ]
    }
   ],
   "source": [
    "data, timer = hp.load_exampledata(2)\n",
    "print(data)\n",
    "print(timer)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When computing the sample rate we need to give ***get_samplerate_datetime()*** the format of the string (by default it expects HH:MM:SS.ms):\n",
    "\n",
    "计算样本速率时，我们需要给***get_samplerate_datetime()**字符串的格式（默认情况下，它期望HH:MM:SS.ms）："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "100.41971086584796\n",
      "sample rate is: 100.419711 Hz\n"
     ]
    }
   ],
   "source": [
    "sample_rate = hp.get_samplerate_datetime(timer, timeformat='%Y-%m-%d %H:%M:%S.%f')\n",
    "print(sample_rate)\n",
    "print('sample rate is: %f Hz' %sample_rate)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we know all that, running the analysis is the same as before:\n",
    "\n",
    "现在我们知道这一切，运行分析和之前是相同的："
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "Finished in 0.423704 sec\n",
      "bpm: 97.325149\n",
      "ibi: 616.490194\n",
      "sdnn: 57.916589\n",
      "sdsd: 30.173744\n",
      "rmssd: 38.181375\n",
      "pnn20: 0.320281\n",
      "pnn50: 0.086345\n",
      "hr_mad: 29.874613\n",
      "sd1: 26.997110\n",
      "sd2: 75.178572\n",
      "s: 6376.189507\n",
      "sd1/sd2: 0.359106\n",
      "breathingrate: 0.141844\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<Figure size 864x288 with 0 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "wd, m = hp.process(data, sample_rate, report_time = True)\n",
    "\n",
    "#plot\n",
    "# plt.figure(figsize=(12,4))\n",
    "# hp.plotter(wd, m)\n",
    "\n",
    "#let's zoom in on a bit\n",
    "plt.figure(figsize=(12,4))\n",
    "# plt.xlim(20000, 30000)\n",
    "hp.plotter(wd, m)\n",
    "\n",
    "#display measures computed\n",
    "for measure in m.keys():\n",
    "    print('%s: %f' %(measure, m[measure]))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Well that looks just swell!\n",
    "\n",
    "Now you know how to use HeartPy to analyse basic PPG signals.\n",
    "\n",
    "Take a look at some of the other notebooks to see how to handle lower quality signals that come from various wearables (smartwatch, smart ring), as well as how to handle (noisy) ECG signals!\n",
    "\n",
    "### 看起来只是膨胀！\n",
    "\n",
    "现在你知道如何使用 HeartPy 来分析基本的 PPG 信号。\n",
    "\n",
    "看看其他一些笔记本，看看如何处理来自各种可穿戴设备（智能手表，智能环）的低质量信号，以及如何处理（嘈杂的）心电图信号！"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.10"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
